Under what circumstances will residual scores be large? (Points : 1)

       Whenever sample sizes are small

       When x is a weak predictor of y

       When the relationship between x and y is negative

       Whenever range is attenuated

Question 2 of 10 The correlation value, which is the equivalent of Pearson Correlation when there are multiple x variables, is _____________. (Points : 1)

       Spearman’s rho

       the point-biserial correlation

       phi coefficient

       multiple correlation

Multiple regression refers to ______________. (Points : 1)

       a regression solution with multiple values of y

       a regression procedure that can be used many times

       a regression procedure with multiple criterion variables

       a regression procedure with multiple predictor variables

Question 4 of 10 The criterion variable in regression is ____________. (Points : 1)

       the variable that indicates the correlation between x and y

       the variable used to predict the value of y

       the variable for which the value is predicted

       the independent variable in regression

The criterion variable in regression is also called the dependent variable. (Points : 1)

       True

       False

More widely scattered points in the scatterplot indicate ____________. (Points : 1)

       more variability in the x variable

       more variability in the y variable

       normality in both variables

       weaker relationships between variables

The least-squares criterion requires which of the following? (Points : 1)

       Values with the lowest values make the best predictors

       The square of the regression solution is the best predictor

       The lowest number of subjects that will provide a prediction is best

       The square of error values must have their lowest possible value

The intercept value in a regression solution indicates where the regression line crosses the x axis. (Points : 1)

       True

       False

The n-1 in the denominator of a correlation formula indicates _________. (Points : 1)

       a multiple correlation

       a negative correlation

       a correlation designed for a group of data of any size

       a correlation from sample data

A residual score is ____________. (Points : 1)

       the difference between actual y and the predicted value of y

       a score not used in a regression solution

       the predicted value of y as a result of the regression solution

       a score left over after calculating a correlation